Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2A2CBB6E024655B52670EC5B6C0BE297543E20ECC86B0D8C6FB82D599F0ED3ED0D61E |
|
CONTENT
ssdeep
|
192:IielN86UIZSEEP/viSedVw3ufr10qVSH2QO1PqJm:IielN86xD4/vZYCqHRsm |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3d84c6672d85872 |
|
VISUAL
aHash
|
fee7efe7e7e7e700 |
|
VISUAL
dHash
|
840c16164d4d0c04 |
|
VISUAL
wHash
|
00e7c3c3e7e7e700 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
840c16164d4d0c04 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 125 techniques to evade detection by security scanners and make reverse engineering more difficult.